from __future__ import print_function, absolute_import
from collections import namedtuple
import ctypes
import enum
import numpy as np
from numba import numpy_support, types, utils, smartarray
from numba import errors
# terminal color markup
_termcolor = errors.termcolor()
class Purpose(enum.Enum):
# Value being typed is used as an argument
argument = 1
# Value being typed is used as a constant
constant = 2
_TypeofContext = namedtuple("_TypeofContext", ("purpose",))
def typeof(val, purpose=Purpose.argument):
"""
Get the Numba type of a Python value for the given purpose.
"""
# Note the behaviour for Purpose.argument must match _typeof.c.
c = _TypeofContext(purpose)
ty = typeof_impl(val, c)
if ty is None:
from __future__ import print_function, division, absolute_import
import traceback
from .abstract import Callable, DTypeSpec, Dummy, Literal, Type, weakref
from .common import Opaque
from .misc import unliteral
from numba import errors
# terminal color markup
_termcolor = errors.termcolor()
class _ResolutionFailures(object):
"""Collect and format function resolution failures.
"""
def __init__(self, context, function_type, args, kwargs):
self._context = context
self._function_type = function_type
self._args = args
self._kwargs = kwargs
self._failures = []
def __len__(self):
return len(self._failures)
def add_error(self, calltemplate, error):
"""
Args
----
calltemplate : CallTemplate
